Multiple Linear Regression - Estimated Regression Equation
Werkloosheid_BRUSSELS_HOOFDSTEDELIJK_GEWEST[t] = + 66762.2191655278 + 1.58387336059326Werkloosheid_ANTWERPEN[t] + 0.381856952826772`Werkloosheid_VLAAMS-BRABANT`[t] + 0.397117170550738`Werkloosheid_WAALS-BRABANT`[t] -0.577892561599697`Werkloosheid_WEST-VLAANDEREN`[t] -1.03981973021184`Werkloosheid_OOST-VLAANDEREN`[t] -0.301218661823294Werkloosheid_HENEGOUWEN[t] -0.817310464666173Werkloosheid_LUIK[t] -0.311433565008725Werkloosheid_LIMBURG[t] + 0.734224366518723Werkloosheid_LUXEMBURG[t] + 2.44509256150102Werkloosheid_NAMEN[t] -22.4883100271513t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)66762.219165527812605.0318115.29651e-061e-06
Werkloosheid_ANTWERPEN1.583873360593260.1985037.979100
`Werkloosheid_VLAAMS-BRABANT`0.3818569528267720.5266280.72510.4708090.235404
`Werkloosheid_WAALS-BRABANT`0.3971171705507380.907490.43760.6630240.331512
`Werkloosheid_WEST-VLAANDEREN`-0.5778925615996970.312558-1.84890.0686940.034347
`Werkloosheid_OOST-VLAANDEREN`-1.039819730211840.388042-2.67970.009180.00459
Werkloosheid_HENEGOUWEN-0.3012186618232940.319648-0.94230.3492580.174629
Werkloosheid_LUIK-0.8173104646661730.209584-3.89970.0002180.000109
Werkloosheid_LIMBURG-0.3114335650087250.501614-0.62090.5367060.268353
Werkloosheid_LUXEMBURG0.7342243665187231.0683580.68720.4941990.247099
Werkloosheid_NAMEN2.445092561501020.6144863.97910.0001678.3e-05
t-22.488310027151347.123939-0.47720.6346950.317347


Multiple Linear Regression - Regression Statistics
Multiple R0.982685187319963
R-squared0.965670177378071
Adjusted R-squared0.960275490966054
F-TEST (value)179.003950114119
F-TEST (DF numerator)11
F-TEST (DF denominator)70
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1259.80948613546
Sum Squared Residuals111098395.894982


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19768797761.6201753759-74.6201753758434
29851297596.1500483374915.849951662601
39867398244.7574290327428.242570967253
49602897114.8769696857-1086.87696968567
59801496469.08932924961544.91067075036
69558094434.21107954721145.7889204528
79783896761.24242118921076.75757881084
89776098216.7744003035-456.774400303547
99991398857.7886405961055.21135940396
109758896084.19846787821503.80153212177
119394295759.0168143158-1817.01681431577
129365694654.9220620699-998.922062069943
139336594417.4958795779-1052.49587957786
149288193902.1031424073-1021.10314240733
159312093579.442995056-459.442995056047
169106391604.2188412016-541.218841201586
179093090788.4743304912141.525669508849
189194692639.8620535209-693.862053520915
199462495720.8800314895-1096.88003148953
209548496826.5558581264-1342.5558581264
219586295437.0044487868424.995551213173
229553094749.0202724359780.979727564104
239457494311.4117942818262.588205718222
249467793399.04569579051277.95430420947
259384593457.7770411204387.222958879628
269153392962.5608377699-1429.56083776989
279121491912.8917509205-698.891750920526
289092291727.3835827931-805.383582793106
298956390096.4035780791-533.403578079067
308994589979.5583971751-34.558397175075
319185092167.7158910792-317.715891079226
329250594387.9573061634-1882.95730616338
339243792100.6688021512336.331197848813
349387692762.17367837081113.82632162924
359356193123.4973228783437.502677121656
369411993073.31785126881045.68214873122
379526495345.1605002321-81.1605002320856
389608996161.7333056825-72.7333056824598
399716096838.2911744352321.708825564836
409864496244.20196460582399.79803539418
419626697098.7092970558-832.709297055794
429793897893.95007075144.0499292489855
4399757101258.914830359-1501.91483035935
44101550102846.015463862-1296.01546386199
45102449102141.987763101307.012236898671
46102416101862.860990469553.139009530654
47102491103081.28494437-590.284944370128
48102495105149.339604645-2654.33960464451
49104552104356.972167638195.027832362479
50104798104425.247278156372.752721843521
51104947104128.133328168818.866671831801
52103950103703.144762806246.85523719437
53102858103079.993152062-221.993152062253
54106952105082.2622648171869.73773518286
55110901108108.3722424192792.62775758088
56107706110432.687515701-2726.68751570114
57111267108742.7302764542524.26972354599
58107643107801.331044386-158.331044385502
59105387105147.07468462239.925315380321
60105718104994.266522056723.73347794414
61106039106975.718449804-936.718449804493
62106203106994.806125861-791.806125861012
63105558106441.047128185-883.047128185094
64105230105224.298771555.70122844966471
65104864104739.159565026124.840434973803
66104374104032.108800455341.891199545285
67107450105707.7539416871742.24605831269
68108173107433.556231058739.443768941866
69108629106847.246839531781.75316046964
70107847105462.0443189942384.95568100589
71107394105130.3412482292263.65875177076
72106278105714.618237971563.381762028895
73107733107958.62731913-225.627319130103
74107573107671.109411377-98.1094113774653
75107500107194.177520839305.822479160676
76106382106727.079465444-345.079465444101
77104412106527.661561605-2115.66156160478
78105871106682.144823194-811.14482319435
79108767110184.14856224-1417.14856223966
80109728111467.217628555-1739.21762855543
81109769110148.509771209-379.509771209153
82109609110927.889908685-1318.88990868524


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
150.6562523214682670.6874953570634660.343747678531733
160.4918733620593170.9837467241186330.508126637940683
170.3498776561095260.6997553122190520.650122343890474
180.2306749438443120.4613498876886240.769325056155688
190.2815684145662860.5631368291325720.718431585433714
200.2090654801818060.4181309603636110.790934519818195
210.1365902082240880.2731804164481760.863409791775912
220.09677432068662430.1935486413732490.903225679313376
230.07609223027370180.1521844605474040.923907769726298
240.05564438564332430.1112887712866490.944355614356676
250.04053986497822350.08107972995644690.959460135021777
260.04009739513757010.08019479027514020.95990260486243
270.09433467577387310.1886693515477460.905665324226127
280.08713415663476670.1742683132695330.912865843365233
290.07904110084672230.1580822016934450.920958899153278
300.09936939648453830.1987387929690770.900630603515462
310.07119508874620180.1423901774924040.928804911253798
320.08814618376802070.1762923675360410.911853816231979
330.1040059187486170.2080118374972330.895994081251383
340.1169422577130130.2338845154260250.883057742286987
350.1389792756689910.2779585513379810.861020724331009
360.1051882010660850.2103764021321690.894811798933915
370.09678786657159410.1935757331431880.903212133428406
380.08431933220500230.1686386644100050.915680667794998
390.06251863529818060.1250372705963610.937481364701819
400.08176045872143660.1635209174428730.918239541278563
410.09451879434838730.1890375886967750.905481205651613
420.06809551276945270.1361910255389050.931904487230547
430.09861579015003940.1972315803000790.901384209849961
440.09061714511542650.1812342902308530.909382854884573
450.09414195781084170.1882839156216830.905858042189158
460.08058626468131230.1611725293626250.919413735318688
470.08511651680989580.1702330336197920.914883483190104
480.1221104627337850.244220925467570.877889537266215
490.2441743204573210.4883486409146430.755825679542679
500.2720171193393590.5440342386787180.727982880660641
510.3038670536937620.6077341073875230.696132946306238
520.293185916102490.5863718322049790.70681408389751
530.6056473781040690.7887052437918610.394352621895931
540.6999922252887330.6000155494225350.300007774711268
550.9185470089637820.1629059820724370.0814529910362184
560.9696185592021260.06076288159574870.0303814407978743
570.9969372902551040.006125419489792220.00306270974489611
580.9934786637371850.01304267252563010.00652133626281506
590.9929476317824550.01410473643508940.00705236821754471
600.9877874418130540.02442511637389290.0122125581869464
610.9759100958234480.04817980835310380.0240899041765519
620.9547849585583260.09043008288334740.0452150414416737
630.9426642253228010.1146715493543970.0573357746771987
640.9022844391946720.1954311216106570.0977155608053283
650.8282440900088190.3435118199823630.171755909991181
660.7054082526544650.5891834946910690.294591747345535
670.7616776416970710.4766447166058580.238322358302929


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.0188679245283019NOK
5% type I error level50.0943396226415094NOK
10% type I error level90.169811320754717NOK